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Get the Report →Automated Continuous Zoom Replication to PostgreSQL
Use CData Sync for automated, continuous, customizable Zoom replication to PostgreSQL.
Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live Zoom data into your PostgreSQL instance, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, machine learning, artificial intelligence and more.
Configure PostgreSQL as a Replication Destination
Using CData Sync, you can replicate Zoom data to PostgreSQL. To add a replication destination, navigate to the Connections tab.
- Click Add Connection.
- Select PostgreSQL as a destination.
- Enter the necessary connection properties. To connect to PostgreSQL, set the following connection properties (CData Sync ships with the Npgsql ADO.NET Provider for PostgreSQL):
- Server: The address of the server hosting the PostgreSQL database.
- Port: The port used to connect to the server hosting the PostgreSQL database.
- User: The user ID provided for authentication with the PostgreSQL database.
- Password: The password provided for authentication with the PostgreSQL database.
- Database: The name of the database.
- Click Test Connection to ensure that the connection is configured properly.
- Click Save Changes.
Configure the Zoom Connection
You can configure a connection to Zoom from the Connections tab. To add a connection to your Zoom account, navigate to the Connections tab.
- Click Add Connection.
- Select a source (Zoom).
- Configure the connection properties.
Start by setting the Profile connection property to the location of the Zoom Profile on disk (e.g. C:\profiles\Zoom.apip). Next, set the ProfileSettings connection property to the connection string for Zoom (see below).
Zoom API Profile Settings
To authenticate to Zoom, you can use the OAuth standard to connect to your own data or to allow other users to connect to their data.
First you will need to create an OAuth app. To do so, navigate to https://marketplace.zoom.us/develop/create and click Create under the OAuth section. Select whether or not the app will be for individual users or for the entire account, and uncheck the box to publish the app. Give the app a name and click Create. You will then be given your Client Secret and Client ID
After setting the following connection properties, you are ready to connect:
- AuthScheme: Set this to OAuth.
- InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage the process to obtain the OAuthAccessToken.
- OAuthClientID: Set this to the OAuth Client ID that is specified in your app settings.
- OAuthClientSecret: Set this to the OAuth Client Secret that is specified in your app settings.
- CallbackURL: Set this to the Redirect URI you specified in your app settings.
- Click Connect to ensure that the connection is configured properly.
- Click Save Changes.
Configure Replication Queries
CData Sync enables you to control replication with a point-and-click interface and with SQL queries. For each replication you wish to configure, navigate to the Jobs tab and click Add Job. Select the Source and Destination for your replication.
Replicate Entire Tables
To replicate an entire table, click Add Tables in the Tables section, choose the table(s) you wish to replicate, and click Add Selected Tables.
Customize Your Replication
You can use the Columns and Query tabs of a task to customize your replication. The Columns tab allows you to specify which columns to replicate, rename the columns at the destination, and even perform operations on the source data before replicating. The Query tab allows you to add filters, grouping, and sorting to the replication.Schedule Your Replication
In the Schedule section, you can schedule a job to run automatically, configuring the job to run after specified intervals ranging from once every 10 minutes to once every month.
Once you have configured the replication job, click Save Changes. You can configure any number of jobs to manage the replication of your Zoom data to PostgreSQL.